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__pycache__
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output
output
 
 
results
results
 
 
.gitignore
.gitignore
 
 
FINAL_dl-assignment-7.ipynb
FINAL_dl-assignment-7.ipynb
 
 
LTH_fig1_base.py
LTH_fig1_base.py
 
 
LTH_fig1_large.py
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LTH_fig1_large.sh
LTH_fig1_large.sh
 
 
LTH_fig1_mini.py
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LTH_fig1_mini.sh
LTH_fig1_mini.sh
 
 
LTH_fig1_small.py
LTH_fig1_small.py
 
 
LTH_fig1_small.sh
LTH_fig1_small.sh
 
 
LTH_fig4a_iterative_random.py
LTH_fig4a_iterative_random.py
 
 
LTH_fig4a_iterative_random.sh
LTH_fig4a_iterative_random.sh
 
 
LTH_fig4a_iterative_winning.py
LTH_fig4a_iterative_winning.py
 
 
LTH_fig4a_iterative_winning.sh
LTH_fig4a_iterative_winning.sh
 
 
LTH_fig4a_oneshot_random.py
LTH_fig4a_oneshot_random.py
 
 
LTH_fig4a_oneshot_random.sh
LTH_fig4a_oneshot_random.sh
 
 
LTH_fig4a_oneshot_winning.py
LTH_fig4a_oneshot_winning.py
 
 
LTH_fig4a_oneshot_winning.sh
LTH_fig4a_oneshot_winning.sh
 
 
README.md
README.md
 
 
__init__
__init__
 
 
dl_assignment_7_common.py
dl_assignment_7_common.py
 
 

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Implementations of the Lottery Ticket Hypothesis, specifically recreating Figure 1 and 4. Entails pruning custom Lenet feedforward network using oneshot and iterative pruning methods.

Done as 7th assignment for Deep Learning NWI-IMC070; all code implemented from scratch.

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Pruning implementations according to the Lottery Ticket Hypothesis

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